Navigation toward Non-static Target Object Using Footprint Detection Based Tracking. - Meng Yi; Yinfei Yang; Wenjing Qi; Yu Zhou 016; Yunfeng Li; Zygmunt Pizlo; Longin Jan Latecki (ACCV (3), 2012)

Linking Named Entities to Any Database. - Avirup Sil; Ernest Cronin; Penghai Nie; Yinfei Yang; Ana-Maria Popescu; Alexander Yates (EMNLP-CoNLL, 2012)

Detecting Information-Dense Texts in Multiple News Domains. - Yinfei Yang; Ani Nenkova (AAAI, 2014)

Single image 3D object detection and pose estimation for grasping. - Menglong Zhu; Konstantinos G. Derpanis; Yinfei Yang; Samarth Brahmbhatt; Mabel M. Zhang; Cody J. Phillips 001; Matthieu Lecce; Kostas Daniilidis (ICRA, 2014)

Online Multiple targets Detection and Tracking from Mobile robot in Cluttered indoor Environments with Depth Camera. - Yu Zhou 016; Yinfei Yang; Meng Yi; Xiang Bai; Wenyu Liu 001; Longin Jan Latecki (Int. J. Pattern Recognit. Artif. Intell., 2014)

Semantic Analysis and Helpfulness Prediction of Text for Online Product Reviews. - Yinfei Yang; Yaowei Yan; Minghui Qiu; Forrest Sheng Bao (ACL (2), 2015)

Aspect-Based Helpfulness Prediction for Online Product Reviews. - Yinfei Yang; Cen Chen 001; Forrest Sheng Bao (ICTAI, 2016)

Detecting (Un)Important Content for Single-Document News Summarization. - Yinfei Yang; Forrest Sheng Bao; Ani Nenkova (EACL (2), 2017)

Aspect Extraction from Product Reviews Using Category Hierarchy Information. - Yinfei Yang; Cen Chen 001; Minghui Qiu; Forrest Sheng Bao (EACL (2), 2017)

Combining Lexical and Syntactic Features for Detecting Content-Dense Texts in News. - Yinfei Yang; Ani Nenkova (J. Artif. Intell. Res., 2017)

A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature. - Benjamin E. Nye; Junyi Jessy Li; Roma Patel; Yinfei Yang; Iain James Marshall; Ani Nenkova; Byron C. Wallace (ACL (1), 2018)

Universal Sentence Encoder for English. - Daniel Cer; Yinfei Yang; Sheng-yi Kong; Nan Hua; Nicole Limtiaco; Rhomni St. John; Noah Constant; Mario Guajardo-Cespedes; Steve Yuan; Chris Tar; Brian Strope; Ray Kurzweil (EMNLP (Demonstration), 2018)

Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. - Cen Chen 001; Yinfei Yang; Jun Zhou 011; Xiaolong Li 005; Forrest Sheng Bao (NAACL-HLT (2), 2018)

Syntactic Patterns Improve Information Extraction for Medical Search. - Roma Patel; Yinfei Yang; Iain James Marshall; Ani Nenkova; Byron C. Wallace (NAACL-HLT (2), 2018)

Learning Semantic Textual Similarity from Conversations. - Yinfei Yang; Steve Yuan; Daniel Cer; Sheng-yi Kong; Noah Constant; Petr Pilar; Heming Ge; Yun-Hsuan Sung; Brian Strope; Ray Kurzweil (Rep4NLP@ACL, 2018)

Effective Parallel Corpus Mining using Bilingual Sentence Embeddings. - Mandy Guo; Qinlan Shen; Yinfei Yang; Heming Ge; Daniel Cer; Gustavo Hernández Ábrego; Keith Stevens; Noah Constant; Yun-Hsuan Sung; Brian Strope; Ray Kurzweil (WMT, 2018)

Universal Sentence Encoder. - Daniel Cer; Yinfei Yang; Sheng-yi Kong; Nan Hua; Nicole Limtiaco; Rhomni St. John; Noah Constant; Mario Guajardo-Cespedes; Steve Yuan; Chris Tar; Yun-Hsuan Sung; Brian Strope; et al. (CoRR, 2018)

Review Helpfulness Prediction with Embedding-Gated CNN. - Cen Chen 001; Minghui Qiu; Yinfei Yang; Jun Zhou 011; Jun Huang 007; Xiaolong Li 005; Forrest Sheng Bao (CoRR, 2018)

ReQA: An Evaluation for End-to-End Answer Retrieval Models. - Amin Ahmad; Noah Constant; Yinfei Yang; Daniel Cer (MRQA@EMNLP, 2019)

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification. - Yinfei Yang; Yuan Zhang 001; Chris Tar; Jason Baldridge (EMNLP/IJCNLP (1), 2019)

Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax. - Yinfei Yang; Gustavo Hernández Ábrego; Steve Yuan; Mandy Guo; Qinlan Shen; Daniel Cer; Yun-Hsuan Sung; Brian Strope; Ray Kurzweil (IJCAI, 2019)

Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction. - Yinfei Yang; Oshin Agarwal; Chris Tar; Byron C. Wallace; Ani Nenkova (NAACL-HLT (1), 2019)

Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model. - Muthuraman Chidambaram; Yinfei Yang; Daniel Cer; Steve Yuan; Yun-Hsuan Sung; Brian Strope; Ray Kurzweil (RepL4NLP@ACL, 2019)

Hierarchical Document Encoder for Parallel Corpus Mining. - Mandy Guo; Yinfei Yang; Keith Stevens; Daniel Cer; Heming Ge; Yun-Hsuan Sung; Brian Strope; Ray Kurzweil (WMT (1), 2019)

Multi-Domain Gated CNN for Review Helpfulness Prediction. - Cen Chen 001; Minghui Qiu; Yinfei Yang; Jun Zhou 011; Jun Huang 007; Xiaolong Li 005; Forrest Sheng Bao (WWW, 2019)

Learning a Multitask Curriculum for Neural Machine Translation. - Wei Wang 236; Ye Tian 022; Jiquan Ngiam; Yinfei Yang; Isaac Caswell; Zarana Parekh (CoRR, 2019)

Learning a Multi-Domain Curriculum for Neural Machine Translation. - Wei Wang 236; Ye Tian 022; Jiquan Ngiam; Yinfei Yang; Isaac Caswell; Zarana Parekh (ACL, 2020)

Multilingual Universal Sentence Encoder for Semantic Retrieval. - Yinfei Yang; Daniel Cer; Amin Ahmad; Mandy Guo; Jax Law; Noah Constant; Gustavo Hernández Ábrego; Steve Yuan; Chris Tar; Yun-Hsuan Sung; Brian Strope; Ray Kurzweil (ACL (demo), 2020)

LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool. - Uma Roy; Noah Constant; Rami Al-Rfou; Aditya Barua; Aaron Phillips; Yinfei Yang (EMNLP (1), 2020)

Self-Supervised Learning for Pairwise Data Refinement. - Gustavo Hernández Ábrego; Bowen Liang; Wei Wang 236; Zarana Parekh; Yinfei Yang; Yun-Hsuan Sung (AACL/IJCNLP, 2020)

Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models. - Oshin Agarwal; Yinfei Yang; Byron C. Wallace; Ani Nenkova (CoRR, 2020)

Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation. - Ji Ma 004; Ivan Korotkov; Yinfei Yang; Keith B. Hall; Ryan T. McDonald (CoRR, 2020)

MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models. - Mandy Guo; Yinfei Yang; Daniel Cer; Qinlan Shen; Noah Constant (CoRR, 2020)

End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization. - Forrest Sheng Bao; Hebi Li; Ge Luo 002; Cen Chen 001; Yinfei Yang; Minghui Qiu (CoRR, 2020)

Neural Passage Retrieval with Improved Negative Contrast. - Jing Lu; Gustavo Hernández Ábrego; Ji Ma 004; Jianmo Ni; Yinfei Yang (CoRR, 2020)

Uncertainty quantification in machining deformation based on Bayesian network. - Xiaoyue Li; Yinfei Yang; Liang Li; Guolong Zhao; Ning He (Reliab. Eng. Syst. Saf., 2020)

Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation. - Yinfei Yang; Ning Jin; Kuo Lin; Mandy Guo; Daniel Cer (ACL/IJCNLP (2), 2021)

Cross-Modal Contrastive Learning for Text-to-Image Generation. - Han Zhang 010; Jing Yu Koh; Jason Baldridge; Honglak Lee; Yinfei Yang (CVPR, 2021)

Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation. - Ji Ma 004; Ivan Korotkov; Yinfei Yang; Keith B. Hall; Ryan T. McDonald (EACL, 2021)

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO. - Zarana Parekh; Jason Baldridge; Daniel Cer; Austin Waters; Yinfei Yang (EACL, 2021)

MURAL: Multimodal, Multitask Representations Across Languages. - Aashi Jain; Mandy Guo; Krishna Srinivasan; Ting Chen; Sneha Kudugunta; Chao Jia; Yinfei Yang; Jason Baldridge (EMNLP (Findings), 2021)

Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval. - Jing Lu; Gustavo Hernández Ábrego; Ji Ma 004; Jianmo Ni; Yinfei Yang (EMNLP (1), 2021)

A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations. - Ziyi Yang; Yinfei Yang; Daniel Cer; Eric Darve (EMNLP (1), 2021)

Universal Sentence Representation Learning with Conditional Masked Language Model. - Ziyi Yang; Yinfei Yang; Daniel Cer; Jax Law; Eric Darve (EMNLP (1), 2021)

Pathdreamer: A World Model for Indoor Navigation. - Jing Yu Koh; Honglak Lee; Yinfei Yang; Jason Baldridge; Peter Anderson (ICCV, 2021)

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision. - Chao Jia; Yinfei Yang; Ye Xia 006; Yi-Ting Chen; Zarana Parekh; Hieu Pham 001; Quoc V. Le; Yun-Hsuan Sung; Zhen Li 028; Tom Duerig (ICML, 2021)

Text-to-Image Generation Grounded by Fine-Grained User Attention. - Jing Yu Koh; Jason Baldridge; Honglak Lee; Yinfei Yang (WACV, 2021)

Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. - Oshin Agarwal; Yinfei Yang; Byron C. Wallace; Ani Nenkova (Comput. Linguistics, 2021)

MURAL: Multimodal, Multitask Retrieval Across Languages. - Aashi Jain; Mandy Guo; Krishna Srinivasan; Ting Chen; Sneha Kudugunta; Chao Jia; Yinfei Yang; Jason Baldridge (CoRR, 2021)

An approach for optimising the fixturing configuration in flexible machining fixtures. - Xiaoyue Li; Yinfei Yang; Liang Li; Yaowen Shi; Guolong Zhao; Ning He; Ning Qian; Zhuang Mu (Int. J. Prod. Res., 2021)

Language-agnostic BERT Sentence Embedding. - Fangxiaoyu Feng; Yinfei Yang; Daniel Cer; Naveen Arivazhagan; Wei Wang 236 (ACL (1), 2022)

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. - Jianmo Ni; Gustavo Hernández Ábrego; Noah Constant; Ji Ma 004; Keith B. Hall; Daniel Cer; Yinfei Yang (ACL (Findings), 2022)

Large Dual Encoders Are Generalizable Retrievers. - Jianmo Ni; Chen Qu 001; Jing Lu; Zhuyun Dai; Gustavo Hernández Ábrego; Ji Ma 004; Vincent Y. Zhao; Yi Luan; Keith B. Hall; Ming-Wei Chang; Yinfei Yang (EMNLP, 2022)

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling. - Forrest Sheng Bao; Ge Luo 002; Hebi Li; Minghui Qiu; Yinfei Yang; Youbiao He; Cen Chen 001 (NAACL-HLT, 2022)

LongT5: Efficient Text-To-Text Transformer for Long Sequences. - Mandy Guo; Joshua Ainslie; David C. Uthus; Santiago Ontañón; Jianmo Ni; Yun-Hsuan Sung; Yinfei Yang (NAACL-HLT (Findings), 2022)

Perceptual Grouping in Vision-Language Models. - Kanchana Ranasinghe; Brandon McKinzie; Sachin Ravi; Yinfei Yang; Alexander Toshev; Jonathon Shlens (CoRR, 2022)

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. - Jiahui Yu; Yuanzhong Xu; Jing Yu Koh; Thang Luong; Gunjan Baid; Zirui Wang; Vijay Vasudevan; Alexander Ku; Yinfei Yang; Burcu Karagol Ayan; Ben Hutchinson; Wei Han; et al. (Trans. Mach. Learn. Res., 2022)

Simple and Effective Synthesis of Indoor 3D Scenes. - Jing Yu Koh; Harsh Agrawal; Dhruv Batra; Richard Tucker; Austin Waters; Honglak Lee; Yinfei Yang; Jason Baldridge; Peter Anderson (AAAI, 2023)

A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. - Aishwarya Kamath; Peter Anderson; Su Wang 001; Jing Yu Koh; Alexander Ku; Austin Waters; Yinfei Yang; Jason Baldridge; Zarana Parekh (CVPR, 2023)

Masked Autoencoding Does Not Help Natural Language Supervision at Scale. - Floris Weers; Vaishaal Shankar; Angelos Katharopoulos; Yinfei Yang; Tom Gunter (CVPR, 2023)

DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics. - Forrest Sheng Bao; Ruixuan Tu; Ge Luo 002; Yinfei Yang; Hebi Li; Minghui Qiu; Youbiao He; Cen Chen 001 (EMNLP (Findings), 2023)

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. - Chen Chen 005; Bowen Zhang 002; Liangliang Cao; Jiguang Shen; Tom Gunter; Albin Madappally Jose; Alexander Toshev; Yantao Zheng; Jonathon Shlens; Ruoming Pang; Yinfei Yang (EMNLP, 2023)

Perceptual Grouping in Contrastive Vision-Language Models. - Kanchana Ranasinghe; Brandon McKinzie; Sachin Ravi; Yinfei Yang; Alexander Toshev; Jonathon Shlens (ICCV, 2023)

Robustness in Multimodal Learning under Train-Test Modality Mismatch. - Brandon McKinzie; Vaishaal Shankar; Joseph Yitan Cheng; Yinfei Yang; Jonathon Shlens; Alexander T. Toshev (ICML, 2023)

Self Supervision Does Not Help Natural Language Supervision at Scale. - Floris Weers; Vaishaal Shankar; Angelos Katharopoulos; Yinfei Yang; Tom Gunter (CoRR, 2023)

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. - Chen Chen 005; Bowen Zhang 002; Liangliang Cao; Jiguang Shen; Tom Gunter; Albin Madappally Jose; Alexander Toshev; Jonathon Shlens; Ruoming Pang; Yinfei Yang (CoRR, 2023)

On Robustness in Multimodal Learning. - Brandon McKinzie; Joseph Yitan Cheng; Vaishaal Shankar; Yinfei Yang; Jonathon Shlens; Alexander Toshev (CoRR, 2023)

Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness. - Liangliang Cao; Bowen Zhang 002; Chen Chen 005; Yinfei Yang; Xianzhi Du; Wencong Zhang; Zhiyun Lu; Yantao Zheng (CoRR, 2023)

MOFI: Learning Image Representations from Noisy Entity Annotated Images. - Wentao Wu; Aleksei Timofeev; Chen Chen 005; Bowen Zhang 002; Kun Duan; Shuangning Liu; Yantao Zheng; Jonathon Shlens; Xianzhi Du; Zhe Gan; Yinfei Yang (CoRR, 2023)

Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts. - Erik A. Daxberger; Floris Weers; Bowen Zhang 002; Tom Gunter; Ruoming Pang; Marcin Eichner; Michael Emmersberger; Yinfei Yang; Alexander Toshev; Xianzhi Du (CoRR, 2023)

From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions. - Zhengfeng Lai; Haotian Zhang 005; Wentao Wu; Haoping Bai; Aleksei Timofeev; Xianzhi Du; Zhe Gan; Jiulong Shan; Chen-Nee Chuah; Yinfei Yang; Meng Cao (CoRR, 2023)

Hierarchical temporal transformer network for tool wear state recognition. - Zhongling Xue; Ni Chen; Youling Wu; Yinfei Yang; Liang Li (Adv. Eng. Informatics, 2023)

On the Intractability to Synthesize Factual Inconsistencies in Summarization. - Ge Luo 002; Weisi Fan; Miaoran Li; Youbiao He; Yinfei Yang; Forrest Sheng Bao (EACL (Findings), 2024)

VeCLIP: Improving CLIP Training via Visual-Enriched Captions. - Zhengfeng Lai; Haotian Zhang 005; Bowen Zhang 002; Wentao Wu; Haoping Bai; Aleksei Timofeev; Xianzhi Du; Zhe Gan; Jiulong Shan; Chen-Nee Chuah; Yinfei Yang; Meng Cao (ECCV (42), 2024)

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Anton Belyi; Haotian Zhang 005; Karanjeet Singh 003; et al. (ECCV (29), 2024)

Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs. - Keen You; Haotian Zhang 005; Eldon Schoop; Floris Weers; Amanda Swearngin; Jeffrey Nichols 001; Yinfei Yang; Zhe Gan (ECCV (64), 2024)

Guiding Instruction-based Image Editing via Multimodal Large Language Models. - Tsu-Jui Fu; Wenze Hu; Xianzhi Du; William Yang Wang; Yinfei Yang; Zhe Gan (ICLR, 2024)

Compressing LLMs: The Truth is Rarely Pure and Never Simple. - Ajay Kumar Jaiswal; Zhe Gan; Xianzhi Du; Bowen Zhang; Zhangyang Wang; Yinfei Yang (ICLR, 2024)

MOFI: Learning Image Representations from Noisy Entity Annotated Images. - Wentao Wu; Aleksei Timofeev; Chen Chen 005; Bowen Zhang 002; Kun Duan; Shuangning Liu; Yantao Zheng; Jonathon Shlens; Xianzhi Du; Yinfei Yang (ICLR, 2024)

Ferret: Refer and Ground Anything Anywhere at Any Granularity. - Haoxuan You; Haotian Zhang 005; Zhe Gan; Xianzhi Du; Bowen Zhang 002; Zirui Wang; Liangliang Cao; Shih-Fu Chang; Yinfei Yang (ICLR, 2024)

Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models. - Zhengfeng Lai; Haoping Bai; Haotian Zhang 005; Xianzhi Du; Jiulong Shan; Yinfei Yang; Chen-Nee Chuah; Meng Cao (WACV, 2024)

How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts. - Yusu Qian; Haotian Zhang 005; Yinfei Yang; Zhe Gan (CoRR, 2024)

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Floris Weers; Anton Belyi; Haotian Zhang 005; et al. (CoRR, 2024)

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models. - Haotian Zhang 005; Haoxuan You; Philipp Dufter; Bowen Zhang 002; Chen Chen 005; Hong-You Chen; Tsu-Jui Fu; William Yang Wang; Shih-Fu Chang; Zhe Gan; Yinfei Yang (CoRR, 2024)

Understanding Alignment in Multimodal LLMs: A Comprehensive Study. - Elmira Amirloo; Jean-Philippe Fauconnier; Christoph Roesmann; Christian Kerl; Rinu Boney; Yusu Qian; Zirui Wang; Afshin Dehghan; Yinfei Yang; Zhe Gan; Peter Grasch (CoRR, 2024)

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. - Haotian Zhang 005; Mingfei Gao; Zhe Gan; Philipp Dufter; Nina Wenzel; Forrest Huang; Dhruti Shah; Xianzhi Du; Bowen Zhang 002; Yanghao Li; Sam Dodge; Keen You; et al. (CoRR, 2024)

Contrastive Localized Language-Image Pre-Training. - Hong-You Chen; Zhengfeng Lai; Haotian Zhang 005; Xinze Wang; Marcin Eichner; Keen You; Meng Cao; Bowen Zhang 002; Yinfei Yang; Zhe Gan (CoRR, 2024)

MM-Ego: Towards Building Egocentric Multimodal LLMs. - Hanrong Ye; Haotian Zhang 005; Erik A. Daxberger; Lin Chen 010; Zongyu Lin; Yanghao Li; Bowen Zhang 002; Haoxuan You; Dan Xu 002; Zhe Gan; Jiasen Lu; Yinfei Yang (CoRR, 2024)

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms. - Zhangheng Li; Keen You; Haotian Zhang 005; Di Feng; Harsh Agrawal; Xiujun Li; Mohana Prasad Sathya Moorthy; Jeff Nichols; Yinfei Yang; Zhe Gan (CoRR, 2024)

STIV: Scalable Text and Image Conditioned Video Generation. - Zongyu Lin; Wei Liu; Chen Chen 005; Jiasen Lu; Wenze Hu; Tsu-Jui Fu; Jesse Allardice; Zhengfeng Lai; Liangchen Song; Bowen Zhang 002; Cha Chen; Yiran Fei; et al. (CoRR, 2024)

Improve Vision Language Model Chain-of-thought Reasoning. - Ruohong Zhang; Bowen Zhang 002; Yanghao Li; Haotian Zhang 005; Zhiqing Sun; Zhe Gan; Yinfei Yang; Ruoming Pang; Yiming Yang (ACL (1), 2025)

Multimodal Autoregressive Pre-training of Large Vision Encoders. - Enrico Fini; Mustafa Shukor; Xiujun Li; Philipp Dufter; Michal Klein; David Haldimann; Sai Aitharaju; Victor G. Turrisi da Costa; Louis Béthune; Zhe Gan; Alexander Toshev; Marcin Eichner; et al. (CVPR, 2025)

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. - Zhengfeng Lai; Vasileios Saveris; Chen Chen 005; Hong-You Chen; Haotian Zhang 005; Bowen Zhang 002; Wenze Hu; Juan Lao Tebar; Zhe Gan; Peter Grasch; Meng Cao; Yinfei Yang (ICLR, 2025)

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms. - Zhangheng Li; Keen You; Haotian Zhang 005; Di Feng; Harsh Agrawal; Xiujun Li; Mohana Prasad Sathya Moorthy; Jeffrey Nichols 001; Yinfei Yang; Zhe Gan (ICLR, 2025)

MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs. - Yusu Qian; Hanrong Ye; Jean-Philippe Fauconnier; Peter Grasch; Yinfei Yang; Zhe Gan (ICLR, 2025)

MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA. - Hanrong Ye; Haotian Zhang 005; Erik A. Daxberger; Lin Chen 010; Zongyu Lin; Yanghao Li; Bowen Zhang 002; Haoxuan You; Dan Xu 002; Zhe Gan; Jiasen Lu; Yinfei Yang (ICLR, 2025)

CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling. - Xinze Wang; Chen Chen; Yinfei Yang; Hong-You Chen; Bowen Zhang; Aditya Pal; Xiangxin Zhu; Xianzhi Du (CoRR, 2025)

DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image Generation. - Chen Chen; Rui Qian; Wenze Hu; Tsu-Jui Fu; Jialing Tong; Xinze Wang; Lezhi Li; Bowen Zhang; Alex Schwing; Wei Liu; Yinfei Yang (CoRR, 2025)

UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing. - Tsu-Jui Fu; Yusu Qian; Chen Chen 005; Wenze Hu; Zhe Gan; Yinfei Yang (CoRR, 2025)

MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs. - Erik A. Daxberger; Nina Wenzel; David Griffiths; Haiming Gang; Justin Lazarow; Gefen Kohavi; Kai Kang; Marcin Eichner; Yinfei Yang; Afshin Dehghan; Peter Grasch (CoRR, 2025)

SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding. - Mingze Xu; Mingfei Gao; Shiyu Li; Jiasen Lu; Zhe Gan; Zhengfeng Lai; Meng Cao; Kai Kang; Yinfei Yang; Afshin Dehghan (CoRR, 2025)

Advancing Egocentric Video Question Answering with Multimodal Large Language Models. - Alkesh Patel; Vibhav Chitalia; Yinfei Yang (CoRR, 2025)

GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing. - Yusu Qian; Jiasen Lu; Tsu-Jui Fu; Xinze Wang; Chen Chen; Yinfei Yang; Wenze Hu; Zhe Gan (CoRR, 2025)

UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation. - Rui Tian; Mingfei Gao; Mingze Xu; Jiaming Hu; Jiasen Lu; Zuxuan Wu; Yinfei Yang; Afshin Dehghan (CoRR, 2025)